Titanic competition: multiple logistic regression

Autor

Fernando Náufel

Data de Publicação

24/11/2023 18:45

Setup

source('_setup.R')

Attaching package: 'janitor'
The following objects are masked from 'package:stats':

    chisq.test, fisher.test
── Attaching core tidyverse packages ───────────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.3     ✔ readr     2.1.4
✔ forcats   1.0.0     ✔ stringr   1.5.0
✔ ggplot2   3.4.4     ✔ tibble    3.2.1
✔ lubridate 1.9.2     ✔ tidyr     1.3.0
✔ purrr     1.0.2     
[conflicted] Will prefer tibble::view over any other package.
[conflicted] Will prefer dplyr::filter over any other package.
── Attaching packages ─────────────────────────────────────────── tidymodels 1.1.1 ──

✔ broom        1.0.5     ✔ rsample      1.2.0
✔ dials        1.2.0     ✔ tune         1.1.2
✔ infer        1.0.5     ✔ workflows    1.1.3
✔ modeldata    1.2.0     ✔ workflowsets 1.0.1
✔ parsnip      1.1.1     ✔ yardstick    1.2.0
✔ recipes      1.0.8     

Objetivos

???

Usando só train.csv

Leitura

df <- read_csv(
  'dados/train_limpo.csv'
)
Rows: 891 Columns: 12
── Column specification ─────────────────────────────────────────────────────────────
Delimiter: ","
chr (5): name, sex, ticket, cabin, embarked
dbl (7): id, survived, pclass, age, sib_sp, par_ch, fare

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
df %>% glimpse()
Rows: 891
Columns: 12
$ id       <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19,…
$ survived <dbl> 0, 1, 1, 1, 0, 0, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 1, 0, 1, 0, 1, …
$ pclass   <dbl> 3, 1, 3, 1, 3, 3, 1, 3, 3, 2, 3, 1, 3, 3, 3, 2, 3, 2, 3, 3, 2, 2, …
$ name     <chr> "Braund, Mr. Owen Harris", "Cumings, Mrs. John Bradley (Florence B…
$ sex      <chr> "male", "female", "female", "female", "male", "male", "male", "mal…
$ age      <dbl> 22, 38, 26, 35, 35, NA, 54, 2, 27, 14, 4, 58, 20, 39, 14, 55, 2, N…
$ sib_sp   <dbl> 1, 1, 0, 1, 0, 0, 0, 3, 0, 1, 1, 0, 0, 1, 0, 0, 4, 0, 1, 0, 0, 0, …
$ par_ch   <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 2, 0, 1, 0, 0, 5, 0, 0, 1, 0, 0, 0, 0, 0, …
$ ticket   <chr> "A/5 21171", "PC 17599", "STON/O2. 3101282", "113803", "373450", "…
$ fare     <dbl> 7,2500, 71,2833, 7,9250, 53,1000, 8,0500, 8,4583, 51,8625, 21,0750…
$ cabin    <chr> NA, "C85", NA, "C123", NA, NA, "E46", NA, NA, NA, "G6", "C103", NA…
$ embarked <chr> "S", "C", "S", "S", "S", "Q", "S", "S", "S", "C", "S", "S", "S", "…

Split

split <- initial_split(df, strata = survived)
treino <- training(split)
teste <- testing(split)

Workflow e modelo

modelo <- 
  logistic_reg() %>% 
  set_engine('glm')
wf <- 
  workflow() %>% 
  add_model(modelo)

wf
══ Workflow ═════════════════════════════════════════════════════════════════════════
Preprocessor: None
Model: logistic_reg()

── Model ────────────────────────────────────────────────────────────────────────────
Logistic Regression Model Specification (classification)

Computational engine: glm 

Receita

Definindo id e resposta

receita <- recipe(treino) %>% 
  update_role(id, new_role = 'id') %>% 
  step_mutate(survived = survived == 1) %>% 
  update_role(survived, new_role = 'outcome')

Sexo, porto, bilhete, classe

Sexo e porto de embarque como fatores.

Bilhete com nível ‘outros’.

Classe como fator ordenado.

receita <- receita %>% 
  step_other(ticket, threshold = 2, other = 'outros') %>% 
  step_mutate(pclass = fct_rev(ordered(pclass)))

Imputar porto por moda:

receita <- receita %>% 
  step_impute_mode(embarked)

Nome, título, família

extrair_familia <- function(s) {
  str_split_i(s, ',[ ]*', 1)
}

extrair_titulo <- function(s) {
  s <- str_split_i(s, ',[ ]*', 2)
  str_split_i(s, stringr::fixed('.'), 1)
}

extrair_nome <- function(s) {
  s <- str_split_i(s, ',[ ]*', 2)
  s <- str_split_i(s, stringr::fixed('.'), 2)
  str_trim(s)
}
receita <- receita %>% 
  step_mutate(
    family = factor(extrair_familia(name)),
    title_abbrev = factor(extrair_titulo(name))
  ) %>% 
  step_mutate(
    name = extrair_nome(name),
    role = 'id'
  )

Criar faixa etária

Ainda vão sobrar misses sem idades, que serão imputadas depois.

calcular_faixa <- function(age, tit) {
  case_when(
    !is.na(age) & age < 14 ~ 'child',
    !is.na(age) & age >= 14 ~ 'adult',
    is.na(age) & str_detect(tit, 'Miss') ~ NA_character_,
    is.na(age) & str_detect(tit, 'Master') ~ 'child',
    TRUE ~ 'adult'
  )
}

receita <- receita %>% 
  step_mutate(
    faixa = factor(calcular_faixa(age, title_abbrev))
  )

Criar dummies

Note que a coluna title_abbrev ainda era necessária para caclular a idade. Por isso só é seguro transformá-la em dummy aqui.

Por outro lado, ainda não posso transformar faixa em dummy, pois ainda vou imputar valores faltantes.

receita <- receita %>% 
  step_dummy(
    pclass, family, title_abbrev, sex, ticket, embarked
  )

Atribuir papéis

receita <- receita %>% 
  update_role(
    sib_sp, par_ch, fare,
    new_role = 'predictor'
  ) %>% 
  update_role(
    name, new_role = 'id'
  )

Descartar colunas

Colunas que sobraram:

recipes_eval_select(
  quos(has_role(NA)),
  treino, 
  summary(receita)
)
    pclass        sex        age     ticket      cabin   embarked 
  "pclass"      "sex"      "age"   "ticket"    "cabin" "embarked" 

Remover:

receita <- receita %>% 
  step_rm(age, cabin)

Imputar faixa etária

Note que este passo precisa dos outros preditores prontos.

receita <- receita %>% 
  step_impute_knn(faixa)

Finalmente, transformar faixa em dummy.

receita <- receita %>% 
  step_dummy(faixa)

Resumo da receita

receita
── Recipe ───────────────────────────────────────────────────────────────────────────
── Inputs 
Number of variables by role
outcome:         1
predictor:       3
id:              2
undeclared role: 6
── Operations 
• Variable mutation for: survived == 1
• Collapsing factor levels for: ticket
• Variable mutation for: fct_rev(ordered(pclass))
• Mode imputation for: embarked
• Variable mutation for: factor(extrair_familia(name)), ...
• Variable mutation for: extrair_nome(name)
• Variable mutation for: factor(calcular_faixa(age, title_abbrev))
• Dummy variables from: pclass, family, title_abbrev, sex, ticket, embarked
• Variables removed: age, cabin
• K-nearest neighbor imputation for: faixa
• Dummy variables from: faixa
summary(receita)

Verificando a receita

df_transformado <- receita %>% 
  prep(
    treino,
    fresh = TRUE,
    verbose = TRUE,
    retain = TRUE,
    log_changes = TRUE
  ) %>%
  bake(new_data = NULL)
oper 1 step mutate [training] 
step_mutate (mutate_xyPkQ): same number of columns

oper 2 step other [training] 
step_other (other_dHutJ): same number of columns

oper 3 step mutate [training] 
step_mutate (mutate_9fbUt): same number of columns

oper 4 step impute mode [training] 
step_impute_mode (impute_mode_zrQBO): same number of columns

oper 5 step mutate [training] 
step_mutate (mutate_uf4c3): 
 new (2): family, title_abbrev

oper 6 step mutate [training] 
step_mutate (mutate_5DRXV): same number of columns

oper 7 step mutate [training] 
step_mutate (mutate_5zk3t): 
 new (1): faixa

oper 8 step dummy [training] 
step_dummy (dummy_hQfVz): 
 new (646): pclass_1, pclass_2, family_Abbott, family_Abelson, family_Adahl, ...
 removed (6): pclass, sex, ticket, embarked, family, title_abbrev

oper 9 step rm [training] 
step_rm (rm_NWP7W): 
 removed (2): age, cabin

oper 10 step impute knn [training] 
step_impute_knn (impute_knn_OQsSp): same number of columns

oper 11 step dummy [training] 
step_dummy (dummy_VXerE): 
 new (1): faixa_child
 removed (1): faixa

The retained training set is ~ 3,44 Mb  in memory.
df_transformado
df_transformado %>% glimpse()
Rows: 667
Columns: 653
$ id                            <dbl> 1, 5, 6, 7, 8, 13, 14, 15, 19, 21, 28, 31, 34…
$ survived                      <lgl> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FAL…
$ name                          <fct> Owen Harris, William Henry, James, Timothy J,…
$ sib_sp                        <dbl> 1, 0, 0, 0, 3, 0, 1, 0, 1, 0, 3, 0, 0, 1, 0, …
$ par_ch                        <dbl> 0, 0, 0, 0, 1, 0, 5, 0, 0, 0, 2, 0, 0, 0, 0, …
$ fare                          <dbl> 7,2500, 8,0500, 8,4583, 51,8625, 21,0750, 8,0…
$ pclass_1                      <dbl> -0,70710678118654757273731, -0,70710678118654…
$ pclass_2                      <dbl> 0,4082483, 0,4082483, 0,4082483, 0,4082483, 0…
$ family_Abbott                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Abelson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Adahl                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Adams                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ahlin                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Aks                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Albimona               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ali                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Allen                  <dbl> 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Allison                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Allum                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Andersen.Jensen        <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Anderson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Andersson              <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Andreasson             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Andrew                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Andrews                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Angle                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Arnold.Franchi         <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Asim                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Asplund                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Attalah                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Aubart                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Augustsson             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ayoub                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Backstrom              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Baclini                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Badt                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bailey                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Balkic                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ball                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Banfield               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Barah                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Barbara                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Barber                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Barkworth              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Barton                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bateman                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Baxter                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Beane                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Beavan                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Becker                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Beckwith               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Beesley                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bengtsson              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Berglund               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Berriman               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Betros                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bidois                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Birkeland              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bishop                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bissette               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Blackwell              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Blank                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bonnell                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bostandyeff            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Boulos                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bourke                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bowen                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bowerman               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Braund                 <dbl> 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Brewe                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Brocklebank            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Brown                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Bryhl                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Burke                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Burns                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Buss                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Butt                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Byles                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cacic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cairns                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Calderhead             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Caldwell               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Calic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cameron                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Campbell               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Canavan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cann                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, …
$ family_Caram                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cardeza                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Carlsson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Carr                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Carrau                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Carter                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cavendish              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Chaffee                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Chambers               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Chapman                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Charters               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cherry                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Chibnall               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Chip                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Christmann             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Christy                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Clarke                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cleaver                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Coelho                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Coleff                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Collander              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Colley                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Collyer                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Compton                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Connaghton             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Connolly               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Connors                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cook                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cor                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Corn                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Coutts                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Coxon                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Crease                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cribb                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Crosby                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Culumovic              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cumings                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Cunningham             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dahl                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dakic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Daly                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Danbom                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Daniel                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Danoff                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Davidson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Davies                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Davison                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dean                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_del.Carlo              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Devaney                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dick                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dimic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dodge                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Doharr                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dooley                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Douglas                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Dowdell                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Drazenoic              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Drew                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Duane                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Duff.Gordon            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Edvardsson             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Eitemiller             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Eklund                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Elias                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Elsbury                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Emanuel                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Endres                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Eustis                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Fahlstrom              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Farthing               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Faunthorpe             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Fischer                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Flynn                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Foo                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ford                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Fortune                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
$ family_Fox                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Frauenthal             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Frolicher              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Frolicher.Stehli       <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Frost                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Fry                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Fynney                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
$ family_Gale                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gallagher              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Garfirth               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Garside                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gaskell                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gavey                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gee                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gheorgheff             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Giglio                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Giles                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gilinski               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gillespie              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gilnagh                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Givard                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Goldenberg             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Goldschmidt            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Goldsmith              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Goncalves              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Goodwin                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Graham                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gronnestad             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Guggenheim             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Gustafsson             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Haas                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hakkarainen            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hale                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hamalainen             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hansen                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harder                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harknett               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harmer                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harper                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harrington             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harris                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Harrison               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hart                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hawksford              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hays                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Healy                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hedman                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hegarty                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Heikkinen              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Heininen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hendekovic             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Henry                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Herman                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hewlett                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hickman                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hippach                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hirvonen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hocking                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hodges                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hogeboom               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hold                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Holm                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Holverson              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Homer                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Honkanen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hood                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Horgan                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hoyt                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Humblen                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Hunt                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ibrahim.Shawah         <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Icard                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ilmakangas             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Isham                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ivanoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jacobsohn              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jalsevac               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jansson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jardin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jarvis                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jenkin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jensen                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jermyn                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Johannesen.Bratthammer <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Johanson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Johansson              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Johnson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Johnston               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Jonkoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kalvik                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kantor                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Karaic                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Karlsson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Karun                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Keane                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Keefe                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kelly                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kent                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kenyon                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kiernan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kilgannon              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kimball                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kink                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kink.Heilmann          <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kirkland               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Klaber                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Knight                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Kvillner               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lahoud                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lahtinen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Laitinen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Laleff                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lam                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Landergren             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Laroche                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Larsson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Leader                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lefebre                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lehmann                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Leinonen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Leitch                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lemore                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lennon                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Leonard                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_LeRoy                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lester                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Levy                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lewy                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Leyson                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lindahl                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lindblom               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lindell                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lindqvist              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lines                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ling                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lobb                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Louch                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lovell                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lulic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Lurette                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mack                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Madigan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Madill                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Madsen                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Maenpaa                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Maioni                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mallet                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mamee                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mannion                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Marechal               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Markun                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Marvin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Masselmani             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mayne                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McCarthy               <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McCormack              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McCoy                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McDermott              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McEvoy                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McGough                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McGovern               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McGowan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McKane                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McMahon                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_McNamee                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Meanwell               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Meek                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mellinger              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mellors                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Meo                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mernagh                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Meyer                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
$ family_Millet                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Milling                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Minahan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mineff                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mionoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mitchell               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mockler                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moen                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Molson                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moor                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moore                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moran                  <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moraweck               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Morley                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Morrow                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moubarek               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moussa                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Moutal                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Mudd                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Murdlin                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Naidenoff              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Najib                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nakid                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nankoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nasser                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Natsch                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Navratil               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nenkoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Newell                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Newsom                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nicholson              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nicola.Yarred          <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nilsson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nirva                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Niskanen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Norman                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nosworthy              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Novel                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nye                    <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nysten                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Nysveen                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_O.Brien                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_O.Connell              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_O.Dwyer                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_O.Leary                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_O.Sullivan             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ohman                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Olsen                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Olsson                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Olsvigen               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Oreskovic              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Osen                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Osman                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Padro.y.Manent         <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pain                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Palsson                <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Panula                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Parr                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Parrish                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Patchett               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Paulner                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pavlovic               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pears                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Peduzzi                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Penasco.y.Castellana   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pengelly               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Perkin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pernot                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Perreault              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Persson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Peter                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Peters                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Petranec               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Petroff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Peuchen                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Phillips               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pickard                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Pinsky                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ponesell               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Porter                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Potter                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Quick                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Reed                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Reeves                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rekic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Renouf                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Reynaldo               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rice                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Richard                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Richards               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ridsdale               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Risien                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Roebling               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rogers                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Romaine                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rommetvedt             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rood                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rosblom                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ross                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rothes                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rothschild             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rouse                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rugg                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Rush                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ryan                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ryerson                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Saad                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Saalfeld               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sadlier                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sage                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Salonen                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sandstrom              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Saundercock            <dbl> 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sawyer                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Scanlan                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sdycoff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sedgwick               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Serepeca               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Seward                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sharp                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sheerlinck             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Shellard               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Shelley                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Shorney                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Shutes                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Silverthorne           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Silvey                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Simmons                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sinkkonen              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sirayanian             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sirota                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sivic                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sivola                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sjostedt               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Skoog                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Slabenoff              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Slayter                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Slemen                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sloper                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Smart                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Smiljanic              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Smith                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sobey                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Spedden                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Staneff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Stanley                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Stead                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Stephenson             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Stone                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Stoytcheff             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Strandberg             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Strom                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sunderland             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sutehall               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Sutton                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Svensson               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Swift                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Taussig                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Taylor                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Thayer                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Theobald               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Thorne                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Thorneycroft           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Tomlin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Toomey                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Torber                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Tornquist              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Toufik                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Touma                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Trout                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Troutt                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Turcin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Turpin                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Uruchurtu              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
$ family_van.Billiard           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Van.Impe               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Vande.Walle            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Vanden.Steen           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Vander.Cruyssen        <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Vander.Planke          <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
$ family_Vestrom                <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
$ family_Vovk                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Waelens                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Walker                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Ward                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Warren                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Watson                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Watt                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Webber                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Weir                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Weisz                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_West                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wheadon                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, …
$ family_White                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wick                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Widegren               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Widener                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wiklund                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wilhelms               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Willey                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Williams               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Windelov               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wiseman                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Wright                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Yasbeck                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Youseff                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Yousif                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Yousseff               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ family_Zabour                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Col              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Don              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, …
$ title_abbrev_Dr               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Major            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Master           <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Miss             <dbl> 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Mlle             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Mme              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Mr               <dbl> 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, …
$ title_abbrev_Mrs              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Ms               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Rev              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_Sir              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ title_abbrev_the.Countess     <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ sex_male                      <dbl> 1, 1, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 1, 1, …
$ ticket_X110413                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113505                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113572                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113760                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113781                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113798                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X113806                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X11668                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X11751                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X11767                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X12749                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X13502                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X13507                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X1601                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X16966                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X17421                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X17453                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X19877                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X19943                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X19950                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, …
$ ticket_X220845                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X230080                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X230433                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X239853                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X239865                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, …
$ ticket_X24160                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X244252                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X244367                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X248727                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X250649                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2627                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2651                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2659                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2661                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2665                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2666                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X2908                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X29106                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X29750                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X3101295               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X31027                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X345764                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X345773                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X347077                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X347082                <dbl> 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X347088                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X347742                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X349237                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X349909                <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X35273                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X35281                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X358585                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X363291                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X364516                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X367226                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X36928                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X36947                 <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X370365                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X371110                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X382652                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X392096                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_X4133                  <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_A.4.48871              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_A.5..3336              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_C.A..2315              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_C.A..2673              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_C.A..31921             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_C.A..34651             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_C.A..37671             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_CA.2144                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_CA..2343               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_F.C.C..13529           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_LINE                   <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_P.PP.3381              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17582               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17593               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17604               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, …
$ ticket_PC.17608               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17611               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17755               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17757               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PC.17761               <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_PP.9549                <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_S.C..PARIS.2079        <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_S.O..P.P..3            <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_S.O.C..14879           <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_SC.Paris.2123          <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_W..C..6608             <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_WE.P.5735              <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ ticket_outros                 <dbl> 1, 1, 1, 1, 0, 1, 0, 1, 1, 0, 0, 1, 1, 0, 1, …
$ embarked_Q                    <dbl> 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
$ embarked_S                    <dbl> 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, …
$ faixa_child                   <dbl> 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, …
df_transformado %>% dfSummary() %>% print(method = 'render')
temporary images written to '/home/fnaufel/Development/00-Present/Kaggle/2023-11-titanic/dfimg'
Warning in format_number(as.numeric(names(counts)), round.digits = round.digits + :
NAs introduced by coercion
Warning in ifelse(as.numeric(names(counts)) != round(as.numeric(names(counts)), :
NAs introduced by coercion

Warning in ifelse(as.numeric(names(counts)) != round(as.numeric(names(counts)), :
NAs introduced by coercion
Warning in format_number(as.numeric(names(counts)), round.digits = round.digits + :
NAs introduced by coercion
Warning in ifelse(as.numeric(names(counts)) != round(as.numeric(names(counts)), :
NAs introduced by coercion

Warning in ifelse(as.numeric(names(counts)) != round(as.numeric(names(counts)), :
NAs introduced by coercion
Variável Estatísticas / Valores Freqs (% de Válidos) Grafo Faltante
id [numeric]
Média (dp) : 443,5 (256,5)
mín < mediana < máx:
1 < 439 < 891
IQE (CV) : 441,5 (0,6)
667 valores distintos 0 (0,0%)
survived [logical]
1. FALSE
2. TRUE
411 ( 61,6% )
256 ( 38,4% )
0 (0,0%)
name [factor]
1. (Ada E Hall)
2. (Amelia Milley)
3. (Beila)
4. (Edith Martha Bowerman)
5. (Elizabeth Anne Maidment)
6. (Elizabeth Ramell)
7. (Lutie Davis)
8. (Mantoura Boulos)
9. (Marion Ogden)
10. (Mary D Kingcome)
[ 596 outros ]
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
1 ( 0,1% )
657 ( 98,5% )
0 (0,0%)
sib_sp [numeric]
Média (dp) : 0,5 (1,1)
mín < mediana < máx:
0 < 0 < 8
IQE (CV) : 1 (2,2)
0 : 457 ( 68,5% )
1 : 158 ( 23,7% )
2 : 18 ( 2,7% )
3 : 13 ( 1,9% )
4 : 12 ( 1,8% )
5 : 2 ( 0,3% )
8 : 7 ( 1,0% )
0 (0,0%)
par_ch [numeric]
Média (dp) : 0,4 (0,8)
mín < mediana < máx:
0 < 0 < 6
IQE (CV) : 0 (2,1)
0 : 510 ( 76,5% )
1 : 85 ( 12,7% )
2 : 62 ( 9,3% )
3 : 4 ( 0,6% )
4 : 3 ( 0,4% )
5 : 2 ( 0,3% )
6 : 1 ( 0,1% )
0 (0,0%)
fare [numeric]
Média (dp) : 32,3 (49)
mín < mediana < máx:
0 < 14,5 < 512,3
IQE (CV) : 23 (1,5)
223 valores distintos 0 (0,0%)
pclass_1 [numeric]
Média (dp) : -0,2 (0,6)
mín < mediana < máx:
-0,7 < -0,7 < 0,7
IQE (CV) : 0,7 (-2,8)
NANA : 361 ( 54,1% )
NANA : 145 ( 21,7% )
NANA : 161 ( 24,1% )
0 (0,0%)
pclass_2 [numeric]
Mín : -0,8
Média : 0,1
Máx : 0,4
NANA : 145 ( 21,7% )
NANA : 522 ( 78,3% )
0 (0,0%)
family_Abbott [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Abelson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Adahl [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Adams [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ahlin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Aks [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Albimona [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ali [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Allen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Allison [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Allum [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Andersen.Jensen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Anderson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Andersson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 661 ( 99,1% )
1 : 6 ( 0,9% )
0 (0,0%)
family_Andreasson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Andrew [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Andrews [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Angle [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Arnold.Franchi [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Asim [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Asplund [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Attalah [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Aubart [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Augustsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ayoub [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Backstrom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Baclini [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Badt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bailey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Balkic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ball [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Banfield [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Barah [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Barbara [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Barber [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Barkworth [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Barton [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bateman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Baxter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Beane [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Beavan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Becker [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Beckwith [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Beesley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bengtsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Berglund [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Berriman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Betros [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bidois [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Birkeland [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bishop [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bissette [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Blackwell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Blank [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bonnell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bostandyeff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Boulos [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Bourke [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Bowen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Bowerman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Braund [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Brewe [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Brocklebank [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Brown [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Bryhl [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Burke [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Burns [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Buss [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Butt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Byles [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cacic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cairns [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Calderhead [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Caldwell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Calic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Cameron [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Campbell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Canavan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cann [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Caram [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cardeza [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Carlsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Carr [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Carrau [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Carter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
family_Cavendish [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Chaffee [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Chambers [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Chapman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Charters [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cherry [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Chibnall [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Chip [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Christmann [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Christy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Clarke [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cleaver [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Coelho [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Coleff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Collander [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Colley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Collyer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Compton [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Connaghton [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Connolly [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Connors [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cook [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cor [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Corn [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Coutts [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Coxon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Crease [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cribb [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Crosby [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Culumovic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cumings [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Cunningham [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dahl [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dakic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Daly [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Danbom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Daniel [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Danoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Davidson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Davies [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Davison [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dean [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_del.Carlo [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Devaney [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dick [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dimic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dodge [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Doharr [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dooley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Douglas [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Dowdell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Drazenoic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Drew [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Duane [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Duff.Gordon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Edvardsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Eitemiller [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Eklund [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Elias [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Elsbury [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Emanuel [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Endres [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Eustis [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Fahlstrom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Farthing [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Faunthorpe [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Fischer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Flynn [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Foo [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ford [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Fortune [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Fox [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Frauenthal [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Frolicher [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Frolicher.Stehli [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Frost [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Fry [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Fynney [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gale [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gallagher [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Garfirth [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Garside [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gaskell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gavey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gee [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gheorgheff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Giglio [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Giles [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gilinski [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gillespie [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gilnagh [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Givard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Goldenberg [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Goldschmidt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Goldsmith [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Goncalves [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Goodwin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Graham [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Gronnestad [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Guggenheim [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Gustafsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Haas [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hakkarainen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hale [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hamalainen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Hansen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Harder [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Harknett [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Harmer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Harper [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Harrington [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Harris [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Harrison [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hart [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Hawksford [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hays [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Healy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hedman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hegarty [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Heikkinen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Heininen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hendekovic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Henry [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Herman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Hewlett [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hickman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Hippach [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hirvonen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hocking [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hodges [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hogeboom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hold [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Holm [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Holverson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Homer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Honkanen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hood [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Horgan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hoyt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Humblen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Hunt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ibrahim.Shawah [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Icard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ilmakangas [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Isham [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ivanoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jacobsohn [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jalsevac [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jansson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jardin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jarvis [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jenkin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jensen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jermyn [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Johannesen.Bratthammer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Johanson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Johansson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Johnson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Johnston [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Jonkoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kalvik [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kantor [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Karaic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Karlsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Karun [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Keane [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Keefe [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kelly [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Kent [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kenyon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kiernan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kilgannon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kimball [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kink [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kink.Heilmann [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kirkland [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Klaber [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Knight [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Kvillner [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lahoud [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lahtinen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Laitinen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Laleff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lam [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Landergren [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Laroche [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Larsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Leader [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lefebre [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Lehmann [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Leinonen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Leitch [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lemore [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lennon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Leonard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_LeRoy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lester [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Levy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lewy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Leyson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lindahl [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lindblom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lindell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lindqvist [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lines [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ling [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lobb [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Louch [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lovell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lulic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Lurette [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mack [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Madigan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Madill [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Madsen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Maenpaa [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Maioni [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mallet [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Mamee [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mannion [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Marechal [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Markun [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Marvin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Masselmani [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mayne [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McCarthy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McCormack [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McCoy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_McDermott [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McEvoy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McGough [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McGovern [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McGowan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McKane [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McMahon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_McNamee [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Meanwell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Meek [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mellinger [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mellors [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Meo [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mernagh [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Meyer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Millet [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Milling [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Minahan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mineff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mionoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mitchell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mockler [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Moen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Molson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Moor [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Moore [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Moran [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Moraweck [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Morley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Morrow [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Moubarek [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Moussa [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Moutal [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Mudd [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Murdlin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Naidenoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Najib [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nakid [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nankoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nasser [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Natsch [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Navratil [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Nenkoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Newell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Newsom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nicholson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nicola.Yarred [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Nilsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nirva [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Niskanen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Norman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nosworthy [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Novel [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nye [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nysten [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Nysveen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_O.Brien [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_O.Connell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_O.Dwyer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_O.Leary [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_O.Sullivan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ohman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Olsen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Olsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Olsvigen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Oreskovic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Osen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Osman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Padro.y.Manent [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pain [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Palsson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Panula [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 663 ( 99,4% )
1 : 4 ( 0,6% )
0 (0,0%)
family_Parr [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Parrish [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Patchett [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Paulner [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pavlovic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pears [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Peduzzi [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Penasco.y.Castellana [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pengelly [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Perkin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pernot [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Perreault [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Persson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Peter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Peters [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Petranec [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Petroff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Peuchen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Phillips [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pickard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Pinsky [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ponesell [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Porter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Potter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Quick [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Reed [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Reeves [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rekic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Renouf [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Reynaldo [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rice [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Richard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Richards [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Ridsdale [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Risien [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Roebling [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rogers [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Romaine [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rommetvedt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rood [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rosblom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ross [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rothes [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rothschild [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rouse [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rugg [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Rush [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ryan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ryerson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Saad [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Saalfeld [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sadlier [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sage [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 660 ( 99,0% )
1 : 7 ( 1,0% )
0 (0,0%)
family_Salonen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sandstrom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Saundercock [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sawyer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Scanlan [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sdycoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sedgwick [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Serepeca [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Seward [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sharp [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sheerlinck [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Shellard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Shelley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Shorney [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Shutes [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Silverthorne [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Silvey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Simmons [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sinkkonen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sirayanian [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sirota [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sivic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sivola [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sjostedt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Skoog [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
family_Slabenoff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Slayter [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Slemen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sloper [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Smart [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Smiljanic [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Smith [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sobey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Spedden [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Staneff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Stanley [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Stead [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Stephenson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Stone [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Stoytcheff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Strandberg [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Strom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sunderland [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sutehall [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Sutton [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Svensson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Swift [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Taussig [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Taylor [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Thayer [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Theobald [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Thorne [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Thorneycroft [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Tomlin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Toomey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Torber [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Tornquist [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Toufik [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Touma [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Trout [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Troutt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Turcin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Turpin [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Uruchurtu [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_van.Billiard [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Van.Impe [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Vande.Walle [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Vanden.Steen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Vander.Cruyssen [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Vander.Planke [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Vestrom [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Vovk [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Waelens [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Walker [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Ward [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Warren [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Watson [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Watt [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Webber [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Weir [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Weisz [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_West [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Wheadon [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_White [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Wick [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Widegren [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Widener [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Wiklund [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Wilhelms [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Willey [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Williams [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
family_Windelov [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Wiseman [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Wright [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Yasbeck [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
family_Youseff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Yousif [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Yousseff [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
family_Zabour [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
title_abbrev_Col [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_Don [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_Dr [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
title_abbrev_Major [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
title_abbrev_Master [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 636 ( 95,4% )
1 : 31 ( 4,6% )
0 (0,0%)
title_abbrev_Miss [numeric]
Mín : 0
Média : 0,2
Máx : 1
0 : 532 ( 79,8% )
1 : 135 ( 20,2% )
0 (0,0%)
title_abbrev_Mlle [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_Mme [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_Mr [numeric]
Mín : 0
Média : 0,6
Máx : 1
0 : 281 ( 42,1% )
1 : 386 ( 57,9% )
0 (0,0%)
title_abbrev_Mrs [numeric]
Mín : 0
Média : 0,1
Máx : 1
0 : 572 ( 85,8% )
1 : 95 ( 14,2% )
0 (0,0%)
title_abbrev_Ms [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_Rev [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
title_abbrev_Sir [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
title_abbrev_the.Countess [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 666 ( 99,9% )
1 : 1 ( 0,1% )
0 (0,0%)
sex_male [numeric]
Mín : 0
Média : 0,6
Máx : 1
0 : 235 ( 35,2% )
1 : 432 ( 64,8% )
0 (0,0%)
ticket_X110413 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X113505 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X113572 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X113760 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X113781 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 663 ( 99,4% )
1 : 4 ( 0,6% )
0 (0,0%)
ticket_X113798 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X113806 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X11668 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X11751 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X11767 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X12749 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X13502 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X13507 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X1601 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
ticket_X16966 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X17421 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X17453 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X19877 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X19943 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X19950 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X220845 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X230080 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X230433 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X239853 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X239865 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X24160 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X244252 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X244367 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X248727 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X250649 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2627 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2651 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2659 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2661 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2665 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2666 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X2908 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X29106 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X29750 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X3101295 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 663 ( 99,4% )
1 : 4 ( 0,6% )
0 (0,0%)
ticket_X31027 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X345764 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X345773 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X347077 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X347082 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 663 ( 99,4% )
1 : 4 ( 0,6% )
0 (0,0%)
ticket_X347088 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
ticket_X347742 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X349237 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X349909 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X35273 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X35281 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X358585 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X363291 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X364516 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X367226 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X36928 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X36947 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X370365 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X371110 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X382652 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_X392096 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_X4133 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_A.4.48871 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_A.5..3336 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_C.A..2315 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_C.A..2673 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_C.A..31921 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_C.A..34651 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_C.A..37671 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_CA.2144 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_CA..2343 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 660 ( 99,0% )
1 : 7 ( 1,0% )
0 (0,0%)
ticket_F.C.C..13529 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_LINE [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_P.PP.3381 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17582 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 664 ( 99,6% )
1 : 3 ( 0,4% )
0 (0,0%)
ticket_PC.17593 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17604 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17608 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17611 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17755 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17757 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PC.17761 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_PP.9549 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_S.C..PARIS.2079 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_S.O..P.P..3 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_S.O.C..14879 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 662 ( 99,3% )
1 : 5 ( 0,7% )
0 (0,0%)
ticket_SC.Paris.2123 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_W..C..6608 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_WE.P.5735 [numeric]
Mín : 0
Média : 0
Máx : 1
0 : 665 ( 99,7% )
1 : 2 ( 0,3% )
0 (0,0%)
ticket_outros [numeric]
Mín : 0
Média : 0,7
Máx : 1
0 : 215 ( 32,2% )
1 : 452 ( 67,8% )
0 (0,0%)
embarked_Q [numeric]
Mín : 0
Média : 0,1
Máx : 1
0 : 608 ( 91,2% )
1 : 59 ( 8,8% )
0 (0,0%)
embarked_S [numeric]
Mín : 0
Média : 0,7
Máx : 1
0 : 174 ( 26,1% )
1 : 493 ( 73,9% )
0 (0,0%)
faixa_child [numeric]
Mín : 0
Média : 0,1
Máx : 1
0 : 612 ( 91,8% )
1 : 55 ( 8,2% )
0 (0,0%)

Gerado por summarytools 1.0.1 (R versão 4.3.1)
2023-11-24